• Science of Emotion and Sensibility
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• v.11 no.2
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• pp.245-256
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• 2008

Today, interior design industry is continuously developing in domestic and foreign, and the industry is getting more internationalized and professionalized day after day. At the same time, the interior design industry is overwhelmed by sudden changes. However, the sudden change can be regarded as a turning point requiring management paradigm shift and an understanding of fundamental concept of interior design industry management. In other word, it is the point where a design management strategy should begin. The previous management strategies are no longer effective. Only the companies providing impressive and practical designs followed from qualified market research and analysis can survive in the society. This research examined the tasks the interior design industry confronted and the factors of environmental changes, and analyzed the current status and trend of changing environments. The purpose of the research is to propose a direction to the effective management available in highly industrial national society.

• Journal of Intelligence and Information Systems
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• v.8 no.1
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• pp.39-62
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• 2002

In retail industry, it has been a major focus of marketing to identify and manage loyal customers effectively. Being established as a mature distribution channel, Internet retailing has launched various one-to-one marketing efforts and enjoyed much more fruitful outcome because it is founded on digitally enabled infrastructure. As more complicated and crowded transactions are expected, Internet retailing is in need of electronically available customer management services. This research presents architectural design of Web services for loyal customer management in Internet retailing. The fundamental models of the services are based on traditional RFM analysis. The Web services provide various agents that automate complicated loyal customer management tasks. beadily available Web services are expected to easily integrate into existing applications of any electronic retailers.

• Tunnel and Underground Space
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• v.15 no.1 s.54
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• pp.47-54
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• 2005

One of the standard procedures of discontinuity survey is the joint set identification from the population of field orientation data. Discontinuity set identification is fundamental to rock engineering tasks such as rock mass classification, discrete element analysis, key block analysis. and discrete fracture network modeling. Conventionally, manual method using contour plot had been widely used for this task, but this method has some short-comings such as yielding subjective identification results, manual operations, and so on. In this study, the method of discontinuity set identification using genetic algorithm was introduced, but slightly modified to handle the orientation data. Finally, based on the genetic algorithm, we developed a FORTRAN program, Genetic Algorithm based Clustering(GAC) and applied it to two different discontinuity data sets. Genetic Algorithm based Clustering(GAC) was proved to be a fast and efficient method for the discontinuity set identification task. In addition, fitness function based on variance showed more efficient performance in finding the optimal number of clusters when compared with Davis - Bouldin index.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.1
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• pp.46-54
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• 2013

Recently, the marine leisure industry has begun to make a mark on the growth engines of the Korean economy. Hence, various government research projects are in progress to catch up with the fundamental yacht technologies of advanced countries. Research on the integrated management technologies of sail yachts is carried out as a part of those projects. Work Breakdown Structure (WBS) is a basic architecture for robust and high-level management systems. In this paper, we suggest a product-oriented Yacht Work Breakdown Structure (YWBS). General WBS has a drawback in that it can only follow the targeted purpose, but YWBS allows for a generic WBS approach. This concept allows us to apply WBS to multi-purpose uses. The YWBS is used as an infrastructure in information management and for data relationships in sail yacht management systems. YWBS is designed and managed by a web application, and the system is implemented with a website as a user interface. This application has not only a design function, but also a data transfer function that is based on the Microsoft Silverlight platform, a kind of Rich Internet Application (RIA) technology. Using this application, YWBS designers can communicate with the management system without added tasks like as uploading and updating.

• Journal of Information Processing Systems
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• v.9 no.1
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• pp.117-140
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• 2013

Hindi is the most widely spoken language in India, with more than 300 million speakers. As there is no separation between the characters of texts written in Hindi as there is in English, the Optical Character Recognition (OCR) systems developed for the Hindi language carry a very poor recognition rate. In this paper we propose an OCR for printed Hindi text in Devanagari script, using Artificial Neural Network (ANN), which improves its efficiency. One of the major reasons for the poor recognition rate is error in character segmentation. The presence of touching characters in the scanned documents further complicates the segmentation process, creating a major problem when designing an effective character segmentation technique. Preprocessing, character segmentation, feature extraction, and finally, classification and recognition are the major steps which are followed by a general OCR. The preprocessing tasks considered in the paper are conversion of gray scaled images to binary images, image rectification, and segmentation of the document's textual contents into paragraphs, lines, words, and then at the level of basic symbols. The basic symbols, obtained as the fundamental unit from the segmentation process, are recognized by the neural classifier. In this work, three feature extraction techniques-: histogram of projection based on mean distance, histogram of projection based on pixel value, and vertical zero crossing, have been used to improve the rate of recognition. These feature extraction techniques are powerful enough to extract features of even distorted characters/symbols. For development of the neural classifier, a back-propagation neural network with two hidden layers is used. The classifier is trained and tested for printed Hindi texts. A performance of approximately 90% correct recognition rate is achieved.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.30 no.1
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• pp.28-38
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• 2020

Objectives: The purpose of this study is to identify the perceived problems of and suggest improvement measures for asbestos abatement companies in support of asbestos-related systems and policies. Methods: For this study a questionnaire was prepared consisting of current work (two questions), the contribution and necessity of a risk assessment system for asbestos abatement (two questions), and problems with and improvement measures for systems and policies (nine questions). The questionnaires were sent to 2,170 asbestos abatement companies and were returned by 83 companies (return rate = 3.8%). We conducted frequency analysis, ANOVA, and a Chi-squared test at the 5% significance level. Results: Asbestos abatement companies expressed difficulties with complying with wet work (43% of unenrolled managers), negative pressure enclosure (36% of all respondents), and installation and use of decontamination units (26% of all respondents) as stipulated in the relevant regulations. In addition, 43% of the respondents expressed concerns that the expertise of the company was not considered during bidding for asbestos abatement and hoped that an advantage (e.g., bid point) would be given to the upper grades for asbestos risk assessment (38%). Asbestos abatement companies generally rented and used negative pressure devices (including negative pressure recording devices) and suggested that periodic calibration (32%) is needed to ensure the performance of the rented equipment. Finally, the respondents asked for clear definitions for three situations specified in the Occupational Safety and Health Acts: (1) temporarily leaving the asbestos abatement workplace; (2) tasks with less airborne asbestos; and (3) physically breaking or cutting using a machine. Conclusions: The problems and improvement measures identified in this study of asbestos abatement companies can be utilized as fundamental information for the improvement of the systems and policies for safe asbestos abatement.

• Safety and Health at Work
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• v.11 no.3
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• pp.301-306
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• 2020

Background: The Functional Movement Screen (FMS^TM) is a screening tool used to assess an individual's ability to perform fundamental movements that are necessary to do physically active tasks. The purpose of this study was to assess the ability of FMS to predict occupational injury among Denver Fire Department firefighters. Method: FMS tests were administered from 2012 to 2016. Claim status was defined as any claim occurrence vs. no claim and an overexertion vs. no claim/other claim within 1 year of the FMS. To assess associations between FMS score and claim status, FMS scores were dichotomized into ≤ 14 and > 14. Age-adjusted odds ratios were calculated using logistic regression. Sensitivities and specificities of FMS predicting claims at various FMS score cut points, ranging from 10 to 20 were tested. Results: Of 581 firefighters (mean ± SD, age 38 ± 9.8 y) who completed FMS between February 2015 and March 2018, 188 (32.4%) filed a WC claim in the study time frame. Seventy-two of those (38.3%) were categorized as overexertion claims. There was no association between FMS score and claim status [odds ratio (OR) = 1.27, 95% confidence interval (CI): 0.88 - 1.83] and overexertion claim vs. no claim/other claim (OR = 1.33, 95% CI: 0.81 - 2.21). There was no optimal cutoff for FMS in predicting a WC claim. Conclusions: Although the FMS has been predictive of injuries in other populations, among this sample of firefighters, it was not predictive of a future WC claim.

• Korean Journal of Occupational Health Nursing
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• v.27 no.2
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• pp.77-88
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• 2018

Purpose: This study aimed to investigate the degree of role conflict and its ambiguity, and fatigue in clinical nurses and to analyze the effect of these on their self-resilience in order to provide fundamental data for improving their working environment after the Middle East Respiratory Syndrome outbreak. Methods: After the collection of data from 258 clinical nurses in five general hospitals, t-test, ANOVA, Pearson's correlation coefficient, and multiple regression were performed using IBM SPSS Statistics 20.0. Results: A significant positive correlation was found between nurses' role conflict and ambiguity and fatigue; while a negative correlation was found between nurses' role conflict and ambiguity and self-resilience. A significant negative correlation was found between fatigue and self-resilience. According to the study results, the factor that affected clinical nurses' self-resilience the most was role conflict and its ambiguity, followed by marital status, fatigue, educational level, religion, and related tasks, which together accounted for 38% of self-resilience in clinical nurses. Conclusion: To improve weaknesses in nursing care after the Middle East Respiratory Syndrome outbreak, the scope of nursing care was changed upon the expansion of integrated nursing and care-giving services. Therefore, in the rapidly changing environment of nursing, policies to improve nursing performance, as well as successful reaction capability, are suggested.

• The Journal of Korean Association of Computer Education
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• v.17 no.6
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• pp.9-20
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• 2014

With the change of global awareness of Computing education and introspection about Computer education focused on ICT literacy, efforts are being made to reflect computational thinking in the new curriculum. But if computational thinking would be possible at school, it require tremendous cost to prepare computers for school. In this study, we investigate potentiality and constraints of the one board computer to teach computational thinking in school. We study fundamental performance, application of physical computing and programming education, maintenance of the computers, power consumption of the one board computers which is raspberry pi, beagle bone black, and pcduino3. The result of the study show that one board computer can substitute desktop of the school unless tasks related to require massive data storage and processing. We draw a conclusion that Pcduino3 is well-suited for computational thinking education.

• Journal of the Korea Institute of Building Construction
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• v.12 no.2
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• pp.220-229
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• 2012

In recent years, the number of high-rise buildings has been on the rise. As buildings have become larger in scale, significantly different issues related to their construction and maintenance have emerged. In addition, the automation and mechanization of the cleaning work for the curtain wall, one of the most frequently-performed tasks in building maintenance, is required as a fundamental measure. For this reason, a guide-rail cleaning robot system is emerging as one of the measures in response to external factors, including gust. Therefore, this is a preliminary study for the automation and mechanization of the curtain wall cleaning of high-rise buildings, and aims to derive the basic units and prepare for the concept of the guide rail. It is expected to serve as precedent research for the development and operation of a curtain-wall cleaning robot, and to prepare the basis for an final design of optimal guide rail.